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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 5970
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    phrases with the pattern of a gerund or present participle ("ing" form) followed by a preposition and a noun

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constitu
    -0.72
    姫
    -0.68
     Wiz
    -0.67
     Nun
    -0.66
     Ascension
    -0.62
     Laurie
    -0.61
     Forth
    -0.61
     Kers
    -0.60
    Ľ
    -0.59
    éĹĺ
    -0.58
    POSITIVE LOGITS
    ynamic
    1.48
    iamond
    1.45
    ividual
    1.38
    iscover
    1.36
    owntown
    1.34
    etermined
    1.33
    ownt
    1.32
    etermin
    1.31
    ynam
    1.30
    elta
    1.27
    Activations Density 0.056%

    No Known Activations